Services

This service provides a comprehensive network of proximate sensors at the Rabanales Experimental Farm to monitor and model crop growth and environmental conditions. The sensor setup includes devices that measure humidity, radiation, electrical conductivity, NDVI, temperature, and other key parameters. Data collected from these sensors enables detailed evaluations of crop development, helping clients understand productivity potential and refine complex agricultural models for eco-efficient crop [...]

The service is designed to provide support for validating the design and functionality of robotic systems in specific testing environments. The scope of the service includes peer feedback on the robot's design to identify ways to improve its design to maximise the benefits of robotic work in high-value crops or high-risk testing environments. This may include suggestions for changes to parts of the robot, its control systems, sensors, or general recommendations to ensure safe and efficient work [...]

This service provides comprehensive field testing for proximal remote sensing technologies mounted on UAVs (drones), including RGB, multispectral, hyperspectral, thermal, and LiDAR sensors. The service allows for the precise assessment of plant traits across a variety of agricultural environments. Clients can validate the performance and accuracy of remote sensing tools under real-world conditions, facilitating better crop monitoring, phenotyping, and data collection to support data-driven [...]

Validation of image recognition algorithms used to calculate tree volume as a basis for biomass estimation. Field tests will be conducted. The algorithm's results will be compared with physical measurements to verify reliability and accuracy in different operational contexts.

Install your robotic or AI solution on a real vineyard to assess its performance or to foster its development with storage and workshop facilities. Benefit from our accompaniment and our guidance to find the better spots in the vineyard according to your experimental needs. We define the requirements together before you arrive and book for you the parcels and the workshop. We give you detailed information about the soil and all operations in the vineyard so you can choose the best spot to [...]

The validation of the service will be carried out using corbicular pollen samples, which will be examined through the established traditional unitary methodology and with an AI-equipped microscope. The results will be statistically compared to determine the error rate of the AI in the analysis.

The validation of the service will be carried out using honey samples, which will be examined through the established traditional unitary methodology and with an AI-equipped microscope. The results will be statistically compared to determine the error rate of the AI in the analysis.

The Business Model Validation service helps organisations sharpen their value proposition and assess the economic viability of their innovation. By using structured tools such as the Triple-Layered Business Model Canvas (TLBMC) and the Empathy Map, this service evaluates both the business case and customer perspectives. Each validation is carried out in a dedicated session with stakeholders, combining interviews, expert analysis, and interactive exercises. The outcome is a tailored report [...]

This service ensures that the software powering your hardware solution works seamlessly across all components. By testing the integration between different systems—whether it's farm machinery, drones, sensors, or management platforms—we test performance in a practical setting. This helps agribusinesses streamline processes, uncover potential issues, optimise decision-making, and allow comparing different approaches. Whether you're automating irrigation, monitoring crops, or integrating [...]

This service involves the validation of irrigation optimization systems using intelligent irrigation technologies available on the farm. It includes physicochemical parameters of the soil, variable distribution of water and supplies. Observations are systematic and cover different conditions and crops to verify model accuracy and the effectiveness of site-specific input distribution.

This service focuses on the validation of intelligent irrigation systems through the recalibration of the model based on data obtained from soil sensors, and evaluation with other data sources. It includes physicochemical parameters of the soil, and variable distribution of water and supplies. Observations are systematic and cover different conditions and crops to verify model accuracy and the effectiveness of site-specific input distribution.

Validation of the reliability of virtual assistants with a focus on detecting "hallucinations" (incorrect or inconsistent responses generated by the system). The analysis will assess the usefulness and accuracy of responses. Opportunities for improvement in efficiency and usability will also be identified.